Socioeconomic and health determinants of child malnutrition: an analysis of spatial distribution

Authors

DOI:

https://doi.org/10.17765/2176-9206.2020v13n3p595-606

Keywords:

Child health, Child nutrition disorders, Health status disparities, Nutritional epidemiology

Abstract

The spatial distribution of stunting in low-income Brazilian children and its correlation with socioeconomic and health service indicators are analyzed. Current ecological study, based on national secondary data, employed the variables child malnutrition, socioeconomic indicators and health services in Brazil. Univariate and bivariate statistical techniques were used for spatial analysis. A spatial dependence was reported for child malnutrition (I=0.52; p=0.010), with the lowest prevalence in the most developed regions of the country (South and Southeast regions). A negative association was detected between child malnutrition and per capita income (p <0.001) and Human Development Index (p <0.001), whilst there was a positive association between malnutrition and investments in primary care (p <0.001). Spatial asymmetries were found with a higher prevalence of malnutrition in the north-northeast regions and associations with socioeconomic and health service indicators, reflecting a historical process of inequalities in Brazil.

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Author Biographies

Ligia Rejane Siqueira Garcia, Faculdade de Ciências da Saúde do Trairi - FACISA/UFRN

Doutora em Saúde Coletiva pela UFRN, Docente do Curso de Nutrição da FACISA/UFRN, Santa Cruz (RN), Brasil.

Angelo Giuseppe Roncalli, Universidade Federal do Rio Grande do Norte - UFRN

Pós-Doutorado pela University College London, Docente do Programa de Pós-graduação em Saúde Coletiva, UFRN, Natal (RN), Brasil.

References

Akombi BJ, Agho KE, Hall JJ, Merom D, Astell-Burt T, Renzaho AM. Stunting and severe stunting among children under-5 years in Nigeria: A multilevel analysis. BMC pediatr. [internet] 2017 [acessado 2019 Sep 27]; 15(1): 1-16. DOI: https://doi.org/10.1186/s12887-016-0770-z.

Onis M, Branca F. Childhood stunting: a global perspective. Matern. child nutr. [internet] 2016 [acessado 2019 Sep 27]; 12: 12-26. DOI: https://doi.org/10.1111/mcn.12231.

Neves KR, Morais RLS, Teixeira RA, Pinto PAF. Growth and development and their environmental and biological determinants. J. pediatr. [internet] 2016 [acessado 2019 Sep 27]; 92(3): 241-250. DOI: https://doi.org/10.1016/j.jped.2015.08.007.

ONU/ Organização das Nações Unidas. Objetivos de Desenvolvimento Sustentável. Transformando Nosso Mundo: A Agenda 2030 para o Desenvolvimento Sustentável. Rio de Janeiro: ONU; 2015.

Labrecque JA, Kaufman JS. Health profile differences between recipients and non-recipients of the Brazilian Income Transfer Program in a low-income population. Cad. de saúde pública. [internet] 2019 [acessado 2019 Sep 27]; 35 (6): e00141218. DOI: https://doi.org/10.1590/0102-311X00141218.

IBGE/Instituto Brasileiro de Geografia e Estatística. Divisão Urbano-Regional. Rio de Janeiro: IBGE; 2013.

WHO/World Health Organization. Child growth standards: length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: methods and development. WHO (nonserial publication Geneva: WHO; 2006.

RIPSA/Rede Interagencial de Informações para a Saúde no Brasil. Informe das atividades do Comite Técnico Interdisciplinar: Indicadores de Alimentação e Nutriçao. Brasília: CTI; 2010.

Pereira IFDS, Andrade LDMB, Spyrides MHC, Lyra CDO. Nutritional status of children under 5 years of age in Brazil: evidence of nutritional epidemiological polarisation. Ciênc. Saúde colet. [internet] 2017 [acessado 2019 Sep 27]; 22(10): 3341-52. DOI: https://doi.org/10.1590/1413-812320172210.25242016.

POF/Pesquisa de orçamentos familiares 2008-2009: análise do consumo alimentar pessoal no Brasil / IBGE, Coordenação de Trabalho e Rendimento. – Rio de Janeiro: IBGE; 2011.

Gubert MB, Spaniol AM, Segall-Corrêa AM, Pérez-Escamilla R. Understanding the double burden of malnutrition in food insecure households in Brazil. Matern. child nutr. [internet] 2017 [acessado 2019 Sep 23]; 13(3): 1-9. DOI: https://doi.org/10.1111/mcn.12347.

Monteiro CA, Benicio MHD’A, Conde WL, Konno S, Lovadino AL, Barros AJ et al. Narrowing socioeconomic inequality in child stunting: the Brazilian experience, 1974-2007. Bull. W.H.O. [internet] 2010 [acessado 2019 Sep 23]; 88, 305-11. DOI: https://doi.org/10.2471/BLT.09.069195.

Aguiar DRD, Da Costa GN. Avaliação da situação nutricional no Brasil: efeitos regionais e da renda. Revista de Economia e Agronegócio. 2019; 17(1): 8-29.

Araújo TB. Ensaios sobre o desenvolvimento brasileiro: heranças e urgências. Rio de Janeiro: Revan/FASE. 2000; (1): 203-60. .

IBGE/ Instituto Brasileiro de Geografia e Estatística. Regiões de influência das cidades 2007. Rio de Janeiro: IBGE; 2008.

De Groot R, Palermo T, Handa S, Ragno LP, Peterman A. Cash transfers and child nutrition: pathways and impacts. Development Policy Review. [internet] 2017 [acessado 2019 Sep 21]; 35(5): 621-43. DOI: https://doi.org/10.1111/dpr.12255.

Daufenback V, Ribas MTGO. “Staple food” and “children’s food”: food consumption by bolsa familia program members in Curitiba-PR, Brazil. Demetra. [internet] 2016 [acessado 2019 Sep 21]; 11(1): 47-64. DOI: https://doi.org/10.12957/demetra.2016.16090.

Martins APB, Monteiro CA. Impact of the Bolsa Família program on food availability of low-income Brazilian families: a quasi experimental study. BMC public health (Online). [internet] 2016 [acessado 2019 Sep 21]; 16(1): 827-38. DOI: https://doi.org/10.1186/s12889-016-3486-y.

Coelho PL, Melo ASSDA. Impacto do Programa “Bolsa Família” sobre a qualidade da dieta das famílias de Pernambuco no Brasil. Ciênc. Saúde Colet. [internet] 2017 [acessado 2019 Sep 23]; 22: 393-02. DOI: https://doi.org/10.1590/1413-81232017222.13622015.

UNICEF/WHO/World Bank Group. Joint child malnutrition estimates: key findings of the 2017 edition. UNICEF/WHO/World Bank Group; 2017.

Gonçalves H, Barros FC, Buffarini R, Horta BL, Menezes AM, Barros AJ et al. Infant nutrition and growth: trends and inequalities in four population-based birth cohorts in Pelotas, Brazil, 1982–2015. Int. j. epidemiol. [internet] 2019 [acessado 2019 Sep 23]; (48 Suppl 1), i80-8. DOI: https://doi.org/10.1093/ije/dyy233.

Ramos CV, Dumith SC, César JA. Prevalence and factors associated with stunting and excess weight in children aged 0‐5 years from the Brazilian semi‐arid region. J.pediatr (Rio J.). [internet] 2015 [acessado 2019 Sep 21]; 91(2): 175-82. DOI: https://doi.org/10.1016/j.jpedp.2014.07.005.

Casale D, Espi G, Norris SA. Estimating the pathways through which maternal education affects stunting: evidence from an urban cohort in South Africa. Public health nutr. [internet] 2018 [acessado 2019 Sep 21]; 21(10): 1810-8. DOI: https://doi.org/10.1017/S1368980018000125.

Pereira JF, Formiga CKMR, Vieira MEB, Linhares MBM. Influência dos fatores biológicos e socioeconômicos no desenvolvimento neuropsicomotor de pré-escolares. Saúde e Pesqui. [internet] 2017 [acessado 2019 Sep 27]; 10(1): 135-44. DOI: https://doi.org/10.17765/2176-9206.2017v10n1p135-144.

IPEA. Instituto de Pesquisa Economica e Aplicada . A Década Inclusiva (2001-2011): Desigualdade, Pobreza e Políticas de Renda. Brasilia: IPEA; 2012.

Jonah CM, Sambu WC, May JD. A comparative analysis of socioeconomic inequities in stunting: a case of three middle-income African countries. Arch. public health. [internet] 2018 [acessado 2019 Sep 23]; 76(1): 77-92. DOI: https://doi.org/10.1186/s13690-018-0320-2.

Moncayo AL, Granizo G, Grijalva MJ, Rasella D. Strong effect of Ecuador’s conditional cash transfer program on childhood mortality from poverty-related diseases: a nationwide analysis. BMC public health (Online). [internet] 2019 [acessado 2019 Sep 21]; 19(1): 1-10. DOI: https://doi.org/10.1186/s12889-019-7457-y.

Rasella D, Basu S, Hone T, Paes-Sousa R, Ocké-Reis CO, Millett C. Child morbidity and mortality associated with alternative policy responses to the economic crisis in Brazil: A nationwide microsimulation study. PLoS med. [internet] 2018 [acessado 2019 Sep 21]; 15(5): 1132-42. Disponível em: https://doi.org/10.1186/s12889-019-7457-y.

Guimarães PM, Almeida E. A análise de convergência de renda no Brasil e o problema de escala espacial. Ensaios FEE. 2017; 37(4): 899-924.

Published

2020-09-01

How to Cite

Garcia, L. R. S., & Roncalli, A. G. (2020). Socioeconomic and health determinants of child malnutrition: an analysis of spatial distribution. Saúde E Pesquisa, 13(3), 595–606. https://doi.org/10.17765/2176-9206.2020v13n3p595-606

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Artigos Originais